Signal processing methods are essential in scientific research, and time-frequency analysis
techniques such as Fourier Transform constitute an important progress in data analysis, but …

A multi-dimensional ensemble empirical mode decomposition (MEEMD) for multi-
dimensional data (such as images or solid with variable density) is proposed here. The …

The Gejiu tin-copper polymetallic ore field, located at the westernmost end of the Cathaysia
Block in South China, is one of the largest tin polymetallic ore fields in the world. It is …

We present a single-image, automatic, adaptive, local and fast algorithm for low quality
fringe pattern processing. Fringe pattern is first decomposed into a set of empirical modes …

Both signal processing and image processing are playing increasingly important roles in
remote sensing. As most data from satellites are in image form, image processing has been …

Pavement distress detection is a key technology to evaluate pavement surface and crack
severity. However, there are many challenging problems when using pavement distress …

The empirical mode decomposition (EMD) has been developed by NE Huang et al. in 1998
as an iterative method to decompose a nonlinear and nonstationary univariate function …

Presented method for fringe pattern enhancement has been designed for processing and
analyzing low quality fringe patterns. It uses a modified fast and adaptive bidimensional …

A modified bi-dimensional empirical mode decomposition (BEMD) method is proposed for
sparsely decomposing a fringe pattern into two components, namely, a single intrinsic mode …

Concentration of elements or element groups in a geological body is the result of multiple
stages of rock-forming and ore-forming geological processes. An ore-forming element group …